MacBook Air (2022)
Geekbench AI Score
3237
Single Precision Score
27575
Half Precision Score
31156
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 09:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1226
227.9 IPS |
|
|
Image Classification (HP)
|
100% |
13555
2.52 KIPS |
|
|
Image Classification (Q)
|
97% |
15829
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18732
303.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22851
370.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5740
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
106190
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106558
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.8 IPS |
|
|
Object Detection (HP)
|
99% |
15966
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
18082
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2818
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
34130
405.5 IPS |
|
|
Face Detection (Q)
|
100% |
46176
548.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5047
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
85978
662.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109774
858.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15809
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203083
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
193366
249.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3460
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41280
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50262
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
4023
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6141
8.20 KIPS |
|
|
Text Classification (Q)
|
92% |
6148
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4084
70.6 IPS |
